Brillio

Technology consulting for AI-driven digital transformation

Principal Architect - CPQ

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeSan Ramon, CA, USANo salary listedHybrid

About the Job

Requirements

At least 15 years of software-building experience and a proven record of shipping products from zero to one through scale.
Experience designing agentic systems using frontier models such as Claude or GPT, including tool or function calling, agent skills, multi-step orchestration, and memory.
Production retrieval-augmented generation experience, including embeddings, vector search, chunking and re-ranking, semantic field mapping, and grounding model output over enterprise data.
Prompt and context engineering experience, including structured or JSON output, schema validation, evaluations and regression harnesses, guardrails, and cost, latency, and quality trade-offs.
Strong skills in Python and modern JavaScript or TypeScript, including React or Vite; async services; graph or semantic data modeling; containers; and cloud platforms such as Azure, AWS, or GCP.

Responsibilities

Own the end-to-end architecture of an AI-native platform built on frontier AI models and agentic workflows.
Define the technical vision across product architecture, data platforms, pricing engines, knowledge systems, and AI services, and make build-versus-buy, platform, and model-strategy decisions.
Partner with product, engineering, and business stakeholders to create a scalable, enterprise-grade solution that transforms complex sales and pricing processes through automation and intelligence.
Define architecture for a hyperscaler- and large language model-agnostic product designed to run on customer infrastructure rather than as a platform-locked implementation.
Design the semantic data core, including graph-based modeling with typed relationships, multi-tenant isolation, and provenance.
Architect agentic services—including tool-using large language model agents, orchestration, guardrails, and retrieval grounding—as first-class product capabilities.
Set standards for asynchronous application programming interface design, state machines, code generation and templating, and draft-to-active data lifecycles.
Lead technical delivery end-to-end, mentor engineers, and make build-versus-buy and model-selection decisions.

Desired Qualifications

Experience with configure, price, quote (CPQ), quote-to-cash, or enterprise software as a service.
Familiarity with Salesforce or Revenue Cloud.

Principal Architect - CPQ product will own the end-to-end architecture of an AI-native platform built on frontier AI models and agentic workflows. Define the technical vision across product architecture, data platforms, pricing engines, knowledge systems, and AI services while making critical build-vs-buy, platform, and model strategy decisions. Partner closely with product, engineering, and business stakeholders to create a scalable, enterprise-grade solution that transforms complex sales and pricing processes through automation and intelligence. This is a hands-on leadership role requiring deep technical expertise, architectural rigor, and the ability to attract and mentor high-caliber engineering talent.

What will you own?

• Define the architecture for a hyperscaler and LLM-agnostic product built to run on customer infrastructure - not a platform-locked implementation.
• Design the semantic data core: graph-based modeling with typed relationships, multi-tenant isolation, and provenance.
• Architect agentic services - tool-using LLM agents, orchestration, guardrails, and retrieval grounding - as first-class product capabilities.
• Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
• Lead technical delivery end-to-end, mentor engineers, and make the build-vs-buy and model-selection calls.

Must-Have Experience:

• 15+ years building software, with a proven record of shipping real products 0-to-1 through scale - not just running projects.
• Core LLM engineering: designing agentic systems with frontier models (Claude / GPT) - tool / function calling, agent skills, multi-step orchestration, and memory.
• Production RAG: embeddings, vector search, chunking and re-ranking, semantic field-mapping, and grounding model output over enterprise data.
• Prompt & context engineering: structured / JSON output, schema validation, evals and regression harnesses, guardrails, and cost / latency / quality trade-offs.
• Strong in Python and modern JS/TS (React / Vite); async services, graph / semantic data modeling, containers, and cloud (Azure / AWS / GCP).

Nice to Have:

• CPQ / quote-to-cash or enterprise SaaS exposure. Salesforce or Revenue Cloud familiarity is a plus, not a requirement - this is a non-Salesforce-native product.

Candidates should demonstrate the below listed critical leadership qualities:

• Customer Advocacy - Ensures customer success on stated and unstated business priorities through strategic advice and market leading solutions.
• Owner’s Mindset - Is passionate about Brillio’s business, deeply committed to its success and makes decisions that are in the best interest of the firm.
• Innovation Ethos - Embraces ambiguity and adopts relentless experimentation to challenge current practices and enable continuous growth.
• Execution with Pace - Displays agility to deliver high quality results in the face of changing stakeholder expectations.
• Big Picture Thinking - Creates a common definition of shared success and sets bold targets that inspire the team towards new horizons.
• Winning Through Teams - Enables a culture of collaboration and empowers teams to "raise their game” to create a winning formula.

About the Company

Brillio

Technology consulting for AI-driven digital transformation

Brillio helps organizations move their systems and processes into the digital world by providing technology consulting and customized AI and cloud-based solutions. The company works with large clients, including many Fortune 500 firms, and has a strong emphasis on the healthcare sector. Its offerings include designing and building tailored software and workflows that improve efficiency, security, and scalability, and enabling real-time, AI-powered interactions through generative AI tools. Customers typically engage Brillio through long-term support contracts or project-based work, paying for both advisory services and the implementation of technology solutions. Brillio’s goal is to help clients become ‘generative enterprises’—organizations that leverage AI and cloud technologies to continuously transform operations and user experiences, stay competitive, and drive measurable business outcomes.

Company size: 5,001-10,000
Company stage: Late Stage VC
Total funding: Not listed
Headquarters: Dallas, TX
Founded: 2014

Recently Posted Jobs

Explore more opportunities at Brillio

See more jobs